Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Andrea Torsello; Francisco Escolano Ruiz; Luc Brun Название: Graph-Based Representations in Pattern Recognition ISBN: 3642021239 ISBN-13(EAN): 9783642021237 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009.
Автор: Okechukwu A. Uwechue; Abhijit S. Pandya Название: Human Face Recognition Using Third-Order Synthetic Neural Networks ISBN: 1461368324 ISBN-13(EAN): 9781461368328 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns.
Название: Face Recognition in Adverse Conditions ISBN: 1466659661 ISBN-13(EAN): 9781466659667 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 34234.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Facial recognition software has improved by leaps and bounds over the past few decades, with error rates decreasing significantly within the past ten years. Though this is true, conditions such as poor lighting, obstructions, and profile-only angles have continued to persist in preventing wholly accurate readings.Face Recognition in Adverse Conditions examines how the field of facial recognition takes these adverse conditions into account when designing more effective applications by discussing facial recognition under real world PIE variations, current applications, and the future of the field of facial recognition research. The work is intended for academics, engineers, and researchers specializing in the field of facial recognition.
Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.
Автор: Gang Xu; Zhengyou Zhang Название: Epipolar Geometry in Stereo, Motion and Object Recognition ISBN: 9048147433 ISBN-13(EAN): 9789048147434 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 4 Determining Camera Projection Matrices 201 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5.
Автор: Gang Xu; Zhengyou Zhang Название: Epipolar Geometry in Stereo, Motion and Object Recognition ISBN: 0792341996 ISBN-13(EAN): 9780792341994 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 4 Determining Camera Projection Matrices 201 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5.
Автор: Kumar Название: Correlation Pattern Recognition ISBN: 0521153484 ISBN-13(EAN): 9780521153485 Издательство: Cambridge Academ Рейтинг: Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. Includes case studies of interest, such as face and fingerprint recognition. For graduate students and practitioners.
Автор: Md. Atiqur Rahman Ahad Название: Computer Vision and Action Recognition ISBN: 9462390584 ISBN-13(EAN): 9789462390584 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance.
Автор: Stephen V. Rice; George Nagy; Thomas A. Nartker Название: Optical Character Recognition ISBN: 146137281X ISBN-13(EAN): 9781461372813 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date.
Автор: J. Kittler; V.W. Fu; L.F Pau Название: Pattern Recognition Theory and Applications ISBN: 9400977743 ISBN-13(EAN): 9789400977747 Издательство: Springer Рейтинг: Цена: 49613.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Study Institute, Oxford, England, March 29-April 10, 1981
Автор: Mark R. Stevens; J. Ross Beveridge Название: Integrating Graphics and Vision for Object Recognition ISBN: 0792372077 ISBN-13(EAN): 9780792372073 Издательство: Springer Рейтинг: Цена: 23751.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis.
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